First of all, thank you for your responses

I am talking about running the standalone mental ray renderer (e.g.
using the 'ray' command) with the python-maya API, in orden to improve
the memory usage with these options:

>  * Placeholders - Reuse memory for source geometry
>  * Approximation - Reuse memory with fine approximation
>  * Texture cache - Resuse memory with tiled texture maps
>  * BSP acceleration - Reuse memory with large BSP

I want to do that because I don´t have enough memory to render a scene
that contains a lot of objects and triangles.

I have been reading and I think that a solution could be export the
scene (with the Mayatomr command) to a .mi file, and then render the
scene with the 'ray command' that have the options I am looking for. I
think it could be the solution.......

Thank you !!

Omar.



2009/3/31 Dean Edmonds <[email protected]>:
>
> On Tue, Mar 31, 2009 at 10:22, Omar Agudo <[email protected]> wrote:
>>
>> I want to use Mental ray stand alone.
>>
>> The question is if I can have access to these options:
>>
>>  * Placeholders - Reuse memory for source geometry
>>  * Approximation - Reuse memory with fine approximation
>>  * Texture cache - Resuse memory with tiled texture maps
>>  * BSP acceleration - Reuse memory with large BSP
>>
>> and how using the python maya API.
>
> When you say "Mental ray stand alone" are you talking about running
> the standalone mental ray renderer (e.g. using the 'ray' command)?
>
> Or are you talking about building a Maya standlone application using
> the MLibrary class, and having that application access the mental ray
> renderer which is built into Maya?
>
> --
> -deane
>
> >
>

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